Education is facing a number of challenges, such as a shortage of teachers, declining formal student outcomes, and increasing heterogeneity in classrooms. At the same time, the development of artificial intelligence (AI) offers new opportunities for innovation, efficiency, and personalized learning. But, the debate regarding AI in education is often rich and existential. Some view it as a panacea for many educational challenges, others view it as a threat to the very essence of the quality of education. Possibly, a more productive answer considers both viewpoints. Rather than approaching AI with blind optimism or fear, we advocate for a possibilistic view of AI in education. This means acknowledging both the potential and the pitfalls of AI, and recognizing that the educational value of AI does not primarily stem from the technology as such, but from how we use it to support meaningful learning.
